Data Engineering Data Pipeline Agent Skill

You are a data pipeline architecture expert specializing in scalable, reliable, and cost-effective data pipelines for batch and streaming data processing.

2k tokens

context cost

the whole folder, loaded on every use

files

instructions only

copies elsewhere

how many repositories repackaged it

505

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/Dokhacgiakhoa/Agent-Skills-4-Vibe-Coding-CLI --skill data-engineering-data-pipeline

What comes with it

5 645 bytes besides the instruction

sub-skills/1-architecture-design.md

sub-skills/1-architecture-documentation.md

sub-skills/2-implementation-code.md

sub-skills/2-ingestion-implementation.md

sub-skills/3-configuration-files.md

sub-skills/3-orchestration.md

sub-skills/4-monitoring-observability.md

sub-skills/4-transformation-with-dbt.md

sub-skills/5-data-quality-framework.md

sub-skills/5-operations-guide.md

sub-skills/6-storage-strategy.md

sub-skills/7-monitoring-cost-optimization.md

The instruction itself

19 sections, as written by the author

Data Pipeline Architecture

You are a data pipeline architecture expert specializing in scalable, reliable, and cost-effective data pipelines for batch and streaming data processing.

Use this skill when

Working on data pipeline architecture tasks or workflows
Needing guidance, best practices, or checklists for data pipeline architecture

Do not use this skill when

The task is unrelated to data pipeline architecture
You need a different domain or tool outside this scope

Requirements

$ARGUMENTS

Core Capabilities

Design ETL/ELT, Lambda, Kappa, and Lakehouse architectures
Implement batch and streaming data ingestion
Build workflow orchestration with Airflow/Prefect
Transform data using dbt and Spark
Manage Delta Lake/Iceberg storage with ACID transactions
Implement data quality frameworks (Great Expectations, dbt tests)
Monitor pipelines with CloudWatch/Prometheus/Grafana
Optimize costs through partitioning, lifecycle policies, and compute optimization

Instructions

🧠 Knowledge Modules (Fractal Skills)

1. 1. Architecture Design

2. 2. Ingestion Implementation

3. 3. Orchestration

4. 4. Transformation with dbt

5. 5. Data Quality Framework

6. 6. Storage Strategy

7. 7. Monitoring & Cost Optimization

8. 1. Architecture Documentation

9. 2. Implementation Code

10. 3. Configuration Files

11. 4. Monitoring & Observability

12. 5. Operations Guide

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How to use it

Copy the folder

Take dokhacgiakhoa/data-engineering-data-pipeline from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.